Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection

Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection

Simple load forecasting and overload prediction models, such as LSTM and XGBoost, are unable to handle the increasing amount of data in power systems. Recently, various foundation models (FMs) for time series analysis have been proposed, which can be scaled up for large time series variables and dat...

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Bibliographic Details
Main Authors: Yikai Hou, Chao Ma, Xiang Li, Yinggang Sun, Haining Yu, Zhou Fang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
transformer load forecasting
parameter efficient fine-tuning
multitask learning
foundation model
spectral analysis
time series forecasting
Online Access:https://www.mdpi.com/1996-1073/18/3/660
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